Your startup is growing fast. You’re collecting valuable data. But silos are forming and it's becoming difficult to wrangle all of the data you need into a single source of truth.   Traditionally, you would look for help from a data analytics consulting group to get your data centralized in

There's more to designing a great dashboard than just throwing a bunch of charts and graphs together. In this post, we'll go over some principles to follow when designing a dashboard to help you create something that is both informative and visually appealing. The Goals and the Intentions of the

At Canvas our frontend architecture combines React and WebAssembly (Wasm). Code that needs to be highly performant is written in Rust and compiled to WebAssembly; everything else is written in React. This architecture lets us write fast code when it's needed while writing code fast when it's not. Besides getting

The more accurate and insightful data you have, the better decisions you can make. If you work in any field where data is important, then you've probably heard the terms "descriptive analytics," "predictive analytics," and "prescriptive analytics." In this blog post, we'll look at the basics of these types of

How much has the supply chain evolved over the years? For the modern supply chain, things like delivery automation and digital models are essential staples, while AI and blockchain are threatening to further disrupt the industry. Developments in technology have changed how every functional area of the supply chain works

Do you rely on spreadsheet-based reporting to track your business performance? If so, you're not alone. While spreadsheet and manual reporting are better than nothing, they can hurt your business in many ways, including slowed business processes and decision-making, increased risk of human error, and more. This article will discuss

At Canvas, we believe data warehouses exist to democratize access to data. Fivetran brings the data from every application your team uses. dbt transforms data from the format your machines prefer to a format humans can understand. Finally, Canvas brings the data to your people. Serving everyone is the purpose

The number one objective of data modeling techniques is to help your team easily and quickly extract information from databases to make better business decisions. The modeling process identifies data relationships and workflows, helping you get rid of bottlenecks and speed up development. Because organizations are collecting ever-increasing amounts of

Building a data literacy framework in your company equips your employees with knowledge to make quick and accurate data-driven decisions. Here's how to do it.

This article [https://sapphireventures.com/blog/rise-of-the-connected-spreadsheet-the-killer-app-for-the-modern-data-stack/] was written in partnership with Rajeev Dham [https://www.linkedin.com/in/rajeev-dham-79332812/], Anders Ranum [https://www.linkedin.com/in/andersranum/], and Aditya Reddy [https://www.linkedin.com/in/reddyaditya/] at Sapphire Ventures [https://sapphireventures.com/]. For nearly a generation, spreadsheets have been

In the past, business leaders made decisions based on information that was weeks or even months old. As things can change very quickly in the business world, this would lead to lost opportunities. But today, real-time data analytics is transforming the way businesses operate [https://hbr.org/2021/12/are-you-using-the-right-data-to-power-your-digital-transformation]

Business intelligence is exactly what it sounds like: highly valuable information regarding a business that reflects how well it's doing. A small mom-and-pop shop can take a look at their merchandise, listen to what their customers are saying, and double-check how much they're making at any given point in time.

If you’re a business owner, you know what it’s like to constantly check the analytics. How much traffic has your website had in the past day, week, and month? What pages are people engaging with? How often does that lead to customer success and acquisition? You want these

Data visualization dashboards are essential for digital marketers, business leaders, and companies. They provide a way to view key performance indicators (KPIs) [https://www.investopedia.com/terms/k/kpi.asp] that can be used to improve decision-making. However, data visualization dashboards are not always easy to use. Here we’ll

Breaking down some of the problems I’ve seen in data collaboration and offering advice on how to make better, faster decisions with collaborative analytics.

How do you survive a cash crunch? Most startup leaders are asking this question right now. Many smart [https://www.meritechcapital.com/blog/2022-saas-crash] people [https://luttig.substack.com/p/mean-reversion?sd=nfs&s=r] are writing about the macro trends. I spoke with founders, angels, and VCs and compiled

Find out what sales metrics you should use to measure your team's efficiency, and learn how to build these metrics to track your rocketship trajectory.

Find out what growth marketing metrics you should use to measure startup growth, and learn how to build these metrics to track your rocketship trajectory.

What is a data warehouse and how do you pick the right provider? See below for more details and a look inside the Snowflake vs BigQuery battle.

While BI has been around for decades, its use has dramatically evolved. Here’s a look at the history of BI and how it has changed over the years.

SaaS tools and BI tools have helped teams align around KPIs over the past decade. But to answer the next decade’s more complex questions, our data tools and data culture must evolve.

In this post, I’ll summarize learnings from hundreds of conversations I’ve had with early-stage founders and data practitioners and provide some recommendations on navigating the data landscape.

The year is 2017. I had just joined Flexport as one of the first product managers and was thrilled to start working on the unsexiest trillion-dollar startup...

At Canvas we're building the frontend for the modern data stack. Fittingly, we’ve ended up implementing this on what we call the “modern web stack” - though some of these technologies are so bleeding-edge this appellation could be premature. The choice of stack might be the most consequential decision

Data transformation (the “T” in “ELT”) is the process of turning data from one format to another, often from the format of the source to the format of the destination.